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  1. Online Matplotlib Compiler. Use the Matplotlib library to create charts. Open a folder. Upload files. + Code. + Markdown. Python. import matplotlib.pyplot as plt. plt.plot( [1, 2, 3, 4, 5], [6, 7, 8, 9, 10]) plt.show()

  2. Use this online compiler to write, edit, and execute Matplotlib code using the latest version 3.7.0. You can also save, share, and customize your projects with themes, fonts, and tabs.

  3. Free online matplotlib compiler. Create matplotlib plots in your browser using python. Import data directly from spreasheets. Rich code editor with vim and emacs modes available.

  4. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.

  5. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Learn how to use Matplotlib, explore examples, reference, cheat sheets, documentation, and community resources.

  6. Getting started # Installation quick-start # Install using pip: pip install matplotlib. Install using conda: conda install -c conda-forge matplotlib. Further details are available in the Installation Guide. Draw a first plot # Here is a minimal example plot:

  7. Run your Python code using myCompiler's online IDE with common libraries such as numpy and matplotlib. Visualize your plots directly in the output section without installing anything.

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